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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional Autónoma de México
2023
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=47480084004 https://www.redalyc.org/journal/474/47480084004/ https://www.redalyc.org/journal/474/47480084004/html/ https://www.redalyc.org/journal/474/47480084004/47480084004.epub https://www.redalyc.org/journal/474/47480084004/movil |
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Inhaltsangabe:
- Modeling the effect of temperature on ethanol fermentation using Saccharomyces cerevisiae CSI-1 by genetic programming Cirilo Nolasco-Hipólito Octavio Carvajal-Zarrabal Jesús Carrillo-Ahumada Miguel Ángel Morales-Mora Tan Yie-Hua Fabiola Hernández-Sánchez Miguel Ángel García-Muñoz Mohammad Omar Abdullah Ingeniería modeling optimization temperature effect genetic programming Ethanol fermentation In this study, genetic programming (GP) was the systematic method used to identify the structure and parameters of a mathematical model for ethanol fermentation. The mathematical model simulated the effect of temperature on the kinetics of batch ethanol fermentation and helped to find out the optimum temperature for better performance of the process. Saccharomyces cerevisiae CSI-1 growing in cane molasses-based media was the microorganism used in all the experiments. Achieving the model's precision in describing the experimental observations involved the estimation of its structure (non-linear principally) and its constant parameters. The model found describes the fermentation kinetics and showed a fair prediction for dry cell weight (DCW), colony forming units/mL (CFU/mL), residual sucrose (RS), residual glucose (RG), and ethanol concentration (E). The model was used to optimize the operating conditions of the process. The predictions from the model in terms of mean square error (MSE) and sum squared error (SSE) fitted the experimental data well with fitness values in a range of javax.xml.bind.JAXBElement@4fdfc 2023 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47480084004 https://www.redalyc.org/journal/474/47480084004/ https://www.redalyc.org/journal/474/47480084004/html/ https://www.redalyc.org/journal/474/47480084004/47480084004.epub https://www.redalyc.org/journal/474/47480084004/movil 10.22201/icat.24486736e.2023.21.5.1997 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.21